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ORCIDLiang Zhao 0018
Person information
- affiliation: SenseTime Research, Shanghai, China
- unicode name: 赵亮
Other persons with the same name
- Liang Zhao — disambiguation page
- Liang Zhao 0001
![[0000-0002-1502-6604]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1502-6604")
— University of São Paulo, Institute of Mathematics and Computer Science, SP, Brazil (and 1 more) - Liang Zhao 0002 — Emory University, Atlanta, GA, USA (and 2 more)
- Liang Zhao 0003 — University of Technology Sydney, Centre for Autonomous Systems, Faculty of Engineering and Information Technology, NSW, Australia (and 2 more)
- Liang Zhao 0004 — Shenyang Aerospace University, School of Computer Science, China (and 1 more)
- Liang Zhao 0005 — Dalian University of Technology, School of Software Technology, China
- Liang Zhao 0006 — Baidu Research, Institute of Deep Learning, Sunnyvale, CA, USA
- Liang Zhao 0007 — Harbin Institute of Technology, Department of Computer Science and Technology, China
- Liang Zhao 0008 — Huazhong University of Science and Technology, School of Automation, Wuhan, China
- Liang Zhao 0009 — National ICT Australia, Sydney, NSW, Australia (and 1 more)
- Liang Zhao 0010 — Yangtze Normal University, School of Civil and Architectural Engineering, Chongqing, China (and 1 more)
- Liang Zhao 0011 — Beijing Normal University, Faculty of Geographical Science, China
- Liang Zhao 0012 — Guangxi University of Finance and Economics, College of Information and Statistics, Nanning, China
- Liang Zhao 0013 — Kyoto University, Japan
- Liang Zhao 0014 — Central China Normal University, Wuhan, China
- Liang Zhao 0015 — Dalian University of Technology, Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian, China
- Liang Zhao 0016 — Central China Normal University, Wuhan, China
- Liang Zhao 0017 — Fudan University, School of Basic Medical Sciences, Shanghai, China
- Liang Zhao 0019 — Nanjing University, China
- Liang Zhao 0020 — Sichuan University, School of Cyber Science and Engineering, Chengdu, China
- Liang Zhao 0021 — Xidian University, Xi'an, Shaanxi, China
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2020 – today
- 2023
[j7]Yiwei Wang, Wenjun Xia, Zhennan Yan, Liang Zhao, Xiaohe Bian, Chang Liu, Zhengnan Qi, Shaoting Zhang, Zisheng Tang:
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning. Medical Image Anal. 85: 102750 (2023)- 2021
- [j6]Yang Qu, Xiaomin Li, Zhennan Yan, Liang Zhao, Lichi Zhang, Chang Liu, Shuaining Xie, Kang Li, Dimitris N. Metaxas, Wen Wu, Yongqiang Hao, Kerong Dai, Shaoting Zhang, Xiaofeng Tao, Songtao Ai:
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning. Medical Image Anal. 69: 101954 (2021) - 2020
- [j5]Yu Liu, Chao Zhang, Chang Li, Juan Cheng, Yadong Zhang, Huiqin Xu, Tao Song, Liang Zhao, Xun Chen:
A practical PET/CT data visualization method with dual-threshold PET colorization and image fusion. Comput. Biol. Medicine 126: 104050 (2020) - [j4]Yizhi Chen, Yunhe Gao, Kang Li, Liang Zhao, Jun Zhao:
Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model. IEEE Trans. Medical Imaging 39(2): 387-399 (2020)
2010 – 2019
- 2019
- [c8]Yunhe Gao, Chang Liu, Liang Zhao:
Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation. MICCAI (2) 2019: 309-317 - 2018
- [c7]Chaowei Tan, Liang Zhao, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Yiqiang Zhan:
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation. ISBI 2018: 1221-1224 - [c6]Yiyuan Zhao, Liang Zhao, Zhennan Yan, Matthias Wolf, Yiqiang Zhan:
A deep-learning based automatic pulmonary nodule detection system. Medical Imaging: Computer-Aided Diagnosis 2018: 1057537 - [c5]Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan:
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks. MICCAI (1) 2018: 286-294 - 2016
- [c4]Liang Zhao, Yiqiang Zhan, Dominik Nickel, Matthias Fenchel, Berthold Kiefer, Xiang Sean Zhou:
Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks. Patch-MI@MICCAI 2016: 125-132 - [c3]Liang Zhao, Danyang Chen, Zihe Chen, Xiangyu Wang, Nikhil Paliwal, Jianping Xiang, Hui Meng, Jason J. Corso, Jinhui Xu:
Rapid virtual stenting for intracranial aneurysms. Medical Imaging: Image-Guided Procedures 2016: 97860V - 2015
- [j3]Adriënne M. Mendrik, Koen L. Vincken, Hugo J. Kuijf, Marcel Breeuwer, Willem H. Bouvy, Jeroen de Bresser, Amir Alansary, Marleen de Bruijne, Aaron Carass, Ayman El-Baz, Amod Jog, Ranveer Katyal, Ali R. Khan, Fedde van der Lijn, Qaiser Mahmood, Ryan Mukherjee, Annegreet van Opbroek, Sahil Paneri, Sérgio Pereira, Mikael Persson, Martin Rajchl, Duygu Sarikaya, Örjan Smedby, Carlos A. Silva, Henri A. Vrooman, Saurabh Vyas, Chunliang Wang, Liang Zhao, Geert Jan Biessels, Max A. Viergever:
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 2015: 813696:1-813696:16 (2015) - [j2]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c2]Liang Zhao, Zhigang Peng, Klaus Finkler, Anna K. Jerebko, Jason J. Corso, Xiang Sean Zhou:
Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-Based Edge Detection. Patch-MI@MICCAI 2015: 71-78 - 2014
- [j1]Wei Wu, Albert Y. C. Chen, Liang Zhao, Jason J. Corso:
Brain tumor detection and segmentation in a CRF (conditional random fields) framework with pixel-pairwise affinity and superpixel-level features. Int. J. Comput. Assist. Radiol. Surg. 9(2): 241-253 (2014) - 2013
- [c1]Liang Zhao, Wei Wu, Jason J. Corso:
Semi-automatic Brain Tumor Segmentation by Constrained MRFs Using Structural Trajectories. MICCAI (3) 2013: 567-575
Coauthor Index
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